Benchmark: Array.sort vs Math.min+Math.max

Script Preparation code:

var v1 = 12345678.12345;
var v2 = 23456789.01234;

var arr = [v2, v1]

Tests:

Array.sort
var a = arr.sort(); var min = a[0]; var max = a[1];
Math min and max
var min = Math.min(v2, v1); var max = Math.max(v2, v1);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.sort
Math min and max

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 21 days ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36

Browser/OS: Chrome 133 on Linux

View result in a separate tab

Test name	Executions per second
Array.sort	7710899.0 Ops/sec
Math min and max	87137648.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

LLMs can make mistakes. Check important info.

Let's break down the benchmark definition and test cases to understand what's being tested.

**Benchmark Definition JSON**

The provided JSON defines a benchmark with two test cases:

1. `Array.sort vs Math.min+Math.max`: This is the main benchmark definition that compares the performance of two approaches: sorting an array using the `sort()` method and calculating the minimum and maximum values separately using `Math.min()` and `Math.max()`, respectively.
2. The script preparation code defines two variables, `v1` and `v2`, which are used in the test cases.

**Script Preparation Code**

The script preparation code is a JavaScript snippet that:
```javascript
var v1 = 12345678.12345;
var v2 = 23456789.01234;

var arr = [v2, v1];
```
This code creates an array `arr` containing two values, `v1` and `v2`, which are used in the test cases.

**Html Preparation Code**

There is no HTML preparation code provided, which means that only JavaScript performance testing is performed.

**Test Cases**

The benchmark defines two individual test cases:

1. **Array.sort**
```javascript
var a = arr.sort();
var min = a[0];
var max = a[1];
```
This test case sorts the `arr` array using the `sort()` method and then extracts the minimum and maximum values from the sorted array.

2. **Math min and max**
```javascript
var min = Math.min(v2, v1);
var max = Math.max(v2, v1);
```
This test case calculates the minimum and maximum values separately using `Math.min()` and `Math.max()`, respectively.

**Library Used**

None, only built-in JavaScript functions are used.

**Special JS Feature/Syntax**

None mentioned in this benchmark definition.

**Performance Comparison**

The benchmark compares the performance of two approaches:

1. Sorting an array using the `sort()` method.
2. Calculating the minimum and maximum values separately using `Math.min()` and `Math.max()`.

**Pros and Cons of Each Approach**

1. **Array.sort**:
	* Pros: Can be used to sort arrays in ascending or descending order, which can be useful in certain scenarios.
	* Cons: May have a higher overhead due to the sorting algorithm, especially for large datasets.
2. **Math min and max**:
	* Pros: Fast and efficient, as it only involves simple arithmetic operations.
	* Cons: Requires separate calculations for minimum and maximum values, which can lead to more code and potential errors.

**Other Alternatives**

1. Using a library like `lodash` or `underscore` to sort arrays or calculate min/max values.
2. Implementing custom sorting algorithms, such as quicksort or mergesort, for larger datasets.
3. Using parallel processing techniques to sort large datasets in parallel.

Keep in mind that this benchmark definition is focused on comparing the performance of these two specific approaches and may not be representative of real-world use cases where additional factors like data distribution, sorting order, or dataset size come into play.

Related benchmarks:

Array.sort vs Math.min+Math.max (version: 0)

Comparing performance of: Array.sort vs Math min and max

Created: 8 years ago by: Guest

Jump to the latest result

Array.sort

Math min and max

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):